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16S-Metagenomic Data Profiling of the Bacterial Community in Ready-to-eat Vegetable Salads Sold in Kampala, Uganda

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Journal Data Brief
Date 2024 Apr 8
PMID 38586148
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Abstract

This article presents a dataset on bacterial community structure associated with Ready-to-eat (RTE) vegetable salads sold in Kampala City, Uganda. The Illumina Miseq sequencing of 16S rRNA gene amplicon unveiled the bacterial communities and generated a metagenomic library from RTE vegetable salads to understand the diversities and distribution. The metagenome contained a total of 23,805 sequences with 35,420 Taxonomic units (OTUs). Metagenome sequence information is obtainable at NCBI under the Bioproject assigned accession number PRJNA1064313. Taxonomic hits distribution from VSEARCH analysis at phylum level classification of NN-3 discovered predominantly Proteobacteria (65.34%) followed by Firmicutes (31.60%) and Bacteroidota (0.14%). Deinococcota (0.01%) and Planctomycetota (0.01%) were also detected. Also, VSEARCH-assisted analysis of NN-4 detected a higher prevalence of Firmicutes (65.68%) than Proteobacteria (33.25%), while Bacteroidota (0.04%) indicating the presence of contaminants of faecal sources.

References
1.
Quast C, Pruesse E, Yilmaz P, Gerken J, Schweer T, Yarza P . The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res. 2012; 41(Database issue):D590-6. PMC: 3531112. DOI: 10.1093/nar/gks1219. View

2.
Bolger A, Lohse M, Usadel B . Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014; 30(15):2114-20. PMC: 4103590. DOI: 10.1093/bioinformatics/btu170. View

3.
Callahan B, McMurdie P, Rosen M, Han A, Johnson A, Holmes S . DADA2: High-resolution sample inference from Illumina amplicon data. Nat Methods. 2016; 13(7):581-3. PMC: 4927377. DOI: 10.1038/nmeth.3869. View

4.
Bolyen E, Rideout J, Dillon M, Bokulich N, Abnet C, Al-Ghalith G . Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol. 2019; 37(8):852-857. PMC: 7015180. DOI: 10.1038/s41587-019-0209-9. View